Tekskillup

Andy Bell Andy Bell

0 Course Enrolled • 0 Course Completed

Biography

Professional-Cloud-DevOps-Engineerトレーリングサンプル、Professional-Cloud-DevOps-Engineer資格関連題

JPNTestが提供したGoogleのProfessional-Cloud-DevOps-Engineerトレーニング資料を利用してから試験に合格することがとてもたやすことになって、これは今までがないことです。これは試験に合格した受験生の一人が言ったのです。JPNTestが提供したGoogleのProfessional-Cloud-DevOps-Engineerトレーニング資料はあなたの雑然とした考えを整理できます。そうしたらあなたは心理的なストレスを減らせるだけでなく、気楽に試験に受かることもできます。JPNTestには一部の問題と解答を無料に提供して差し上げますから、もし私の話を信じないのなら、試用版を使ってみてください。利用してみたら効果があるかどうか自分でよく知っているようになります。あなたに絶対向いていると信じていますよ。

認定試験は、候補者が設定された時間枠内で完了する必要があるタスクで構成されるパフォーマンスベースの試験です。この試験は、GCPおよびDevOpsの原則に関する知識を実際のシナリオに適用する候補者の能力をテストするように設計されています。この試験では、GCPのアプリケーションの構築と展開、継続的な配信パイプラインの設計と実装、監視とロギングシステムの構成、自動化ツールを使用したGCPリソースの管理など、幅広いトピックをカバーしています。

試験に備えるために、候補者は関連するトレーニングコースを受講し、公式の学習ガイドを読み、Google Cloud Platformを使用して練習することが勧められます。また、Docker、Kubernetes、Jenkins、TerraformなどのDevOpsツールやテクノロジーを使用して実践的な経験を持つことも重要です。適切な準備を行うことで、候補者はGoogle Professional-Cloud-DevOps-Engineer試験に合格し、IT業界で需要の高いクラウドDevOps専門家のエリートグループに参加できます。

>> Professional-Cloud-DevOps-Engineerトレーリングサンプル <<

Google Professional-Cloud-DevOps-Engineer資格関連題 & Professional-Cloud-DevOps-Engineer受験料過去問

近年、この行では、Google Cloud Certified - Professional Cloud DevOps Engineer Examの実際の試験で新しいポイントが絶えずテストされていることについて、いくつかの変更が行われています。そのため、当社の専門家は新しいタイプの質問を強調し、練習資料に更新を追加し、発生した場合は密接にシフトを探します。このJPNTest試験で起こった急速な変化については、Google専門家が修正し、現在見ているProfessional-Cloud-DevOps-Engineer試験シミュレーションが最新バージョンであることを保証します。材料の傾向は必ずしも簡単に予測できるわけではありませんが、10年の経験から予測可能なパターンを持っているため、次のProfessional-Cloud-DevOps-Engineer準備材料Google Cloud Certified - Professional Cloud DevOps Engineer Examで発生する知識のポイントを正確に予測することがよくあります。

Professional-Cloud-DevOps-Engineer認定試験を受験するには、候補者は少なくとも3年間のソフトウェア開発、DevOps、またはシステム管理の経験を持っている必要があります。また、Google Cloud Platformサービスの使用経験があり、少なくとも1つのプログラミング言語に熟達している必要があります。

Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q151-Q156):

質問 # 151
You support a high-traffic web application that runs on Google Cloud Platform (GCP). You need to measure application reliability from a user perspective without making any engineering changes to it. What should you do?
Choose 2 answers

A. Modify the code to capture additional information for user interaction.
B. Create new synthetic clients to simulate a user journey using the application.
C. Analyze the web proxy logs only and capture response time of each request.
D. Use current and historic Request Logs to trace customer interaction with the application.
E. Review current application metrics and add new ones as needed.

正解：B、D

解説：
Explanation
The most effective ways to measure application reliability from a user perspective without making any engineering changes are to create new synthetic clients to simulate a user journey using the application, and to use current and historic Request Logs to trace customer interaction with the application. These methods can help you monitor the availability, latency, and errors of your application from an end-user perspective .

質問 # 152
You are performing a semiannual capacity planning exercise for your flagship service. You expect a service user growth rate of 10% month-over-month over the next six months. Your service is fully containerized and runs on Google Cloud Platform (GCP). using a Google Kubernetes Engine (GKE) Standard regional cluster on three zones with cluster autoscaler enabled. You currently consume about 30% of your total deployed CPU capacity, and you require resilience against the failure of a zone. You want to ensure that your users experience minimal negative impact as a result of this growth or as a result of zone failure, while avoiding unnecessary costs. How should you prepare to handle the predicted growth?

A. Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.
B. Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.
C. Proactively add 60% more node capacity to account for six months of 10% growth rate, and then perform a load test to make sure you have enough capacity.
D. Because you are at only 30% utilization, you have significant headroom and you won't need to add any additional capacity for this rate of growth.

正解：B

質問 # 153
You have an application that runs in Google Kubernetes Engine (GKE). The application consists of several microservices that are deployed to GKE by using Deployments and Services One of the microservices is experiencing an issue where a Pod returns 403 errors after the Pod has been running for more than five hours Your development team is working on a solution but the issue will not be resolved for a month You need to ensure continued operations until the microservice is fixed You want to follow Google-recommended practices and use the fewest number of steps What should you do?

A. Monitor the Pods and terminate any Pods that have been running for more than five hours
B. Create a cron job to terminate any Pods that have been running for more than five hours
C. Add a HTTP liveness probe to the microservice s deployment
D. Configure an alert to notify you whenever a Pod returns 403 errors

正解：C

解説：
Explanation
The best option for ensuring continued operations until the microservice is fixed is to add a HTTP liveness probe to the microservice's deployment. A HTTP liveness probe is a type of probe that checks if a Pod is alive by sending an HTTP request and expecting a success response code. If the probe fails, Kubernetes will restart the Pod. You can add a HTTP liveness probe to your microservice's deployment by using a livenessProbe field in your Pod spec. This way, you can ensure that any Pod that returns 403 errors after running for more than five hours will be restarted automatically and resume normal operations.

質問 # 154
You support an application deployed on Compute Engine. The application connects to a Cloud SQL instance to store and retrieve dat a. After an update to the application, users report errors showing database timeout messages. The number of concurrent active users remained stable. You need to find the most probable cause of the database timeout. What should you do?

A. Use Cloud Security Scanner to see whether your Cloud SQL is under a Distributed Denial of Service (DDoS) attack.
B. Use Stackdriver Profiler to visualize the resources utilization throughout the application.
C. Determine whether there is an increased number of connections to the Cloud SQL instance.
D. Check the serial port logs of the Compute Engine instance.

正解：D

質問 # 155
You are running an experiment to see whether your users like a new feature of a web application. Shortly after deploying the feature as a canary release, you receive a spike in the number of 500 errors sent to users, and your monitoring reports show increased latency. You want to quickly minimize the negative impact on users. What should you do first?

A. Start monitoring latency, traffic, errors, and saturation.
B. Roll back the experimental canary release.
C. Record data for the postmortem document of the incident.
D. Trace the origin of 500 errors and the root cause of increased latency.

正解：D

質問 # 156
......

Professional-Cloud-DevOps-Engineer資格関連題: https://www.jpntest.com/shiken/Professional-Cloud-DevOps-Engineer-mondaishu